Lyriko provides an AI‑driven platform for pharmaceutical marketing teams that tags, indexes, and recommends the most relevant promotional content for healthcare professionals in real time. Its Next Best Action and Next Best Content engine integrates field‑force activity data and delivers analytics on engagement metrics, helping brand managers and sales leaders improve HCP outreach and field efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Pharmaceutical marketing teams struggle to efficiently match the right promotional content with healthcare professionals (HCPs) at the optimal moment, leading to low engagement rates and sub‑optimal field force productivity.
Solution
Lyriko offers a suite of AI‑driven tools that ingest and analyze pharma data, content assets, and field force activities to generate actionable recommendations. The platform delivers a Next Best Action and Next Best Content framework, automatically selecting the most relevant material for each HCP based on real‑time signals. By tagging and organizing promotional assets, Lyriko reduces manual content creation and enables brand managers to locate existing assets quickly. The solution also provides performance analytics that surface engagement metrics such as email open rates and HCP interaction counts, allowing teams to refine strategies within weeks of deployment.
Target Audience
Primary customers are pharmaceutical marketing and commercial teams, including brand managers and field sales leadership, who need to improve HCP engagement and field force efficiency.
Features
- AI‑powered content tagging and indexing that creates a searchable library of promotional assets
- Real‑time recommendation engine that suggests the optimal content and outreach action for each HCP
- Integration of field force activity data to measure and improve sales rep coverage and efficiency
- Dashboard analytics showing key engagement metrics (e.g., email open rates, HCP interaction volume) with 60‑day impact benchmarks
- Scalable deployment across multiple markets and languages, supporting global pharma organizations